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Building a Next-generation Cloud e-Commerce Platform with Spring
Petar Tahchiev demos a typical e-commerce project with the Nemesis platform, listing the problems faced and the Spring projects used: Data, Session, Cloud, Boot, MVC, Security, etc.
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Hadoop Workflows and Distributed YARN Apps using Spring Technologies
The authors discuss how Spring for Apache Hadoop can make developing workflows with Map Reduce, Spark, Hive and Pig jobs easier, and using Spring Cloud to build distributed apps for YARN.
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Spring MVC 4.2: New and Noteworthy
Rossen Stoyanchev offers an overview of new features for web applications in Spring Framework 4.2: HTTP streaming, Server-sent events, cross-origin requests, HTTP caching, and WebSocket updates.
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Applied Spring Integration, Spring AMQP and RabbitMQ in Spring XD
Gary Russell discusses how Spring Integration and Spring AMQP are used as two of the underlying technologies in Spring XD.
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Prototyping for Optimal Learning
Diana Joseph shows how to practice concept prototyping to avoid building the wrong thing. Prototyping is about working lean, using the smallest investment to generate the greatest amount of learning.
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Creating Java REST Servers from Swagger API Definitions
Swagger is a simple but powerful representation of RESTful APIs. This talk gives an introduction to API creation using the Swagger Editor, and creating a REST service using swagger-codegen.
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Cloud Native Data Flow Orchestration
Mark Fisher and Patrick Peralta provide an overview of the Spring Cloud Data Flow architecture – including how it evolved out of Spring XD, deploying a streaming application in a live demo.
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Spring Integration Java DSL
Artem Bilan talks about using the Spring Integration Java DSL fluent API add integration capabilities to an application using only Spring Java configuration, and the benefits of Java 8 Lambda support.
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Hands on Spring Security
Rob Winch discusses how to rapidly and correctly apply Spring Security to an existing application. Rob demos security exploits and shows how to mitigate them, answers frequently asked questions.
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Apache Spark for Big Data Processing
Ilayaperumal Gopinathan and Ludwine Probst discuss Spark and its ecosystem, in particular Spark Streaming and MLlib, providing a concrete example, and showing how to use Spark with Spring XD.
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Explorations of the Three Legged Performance Stool
Charlie Hunt explains the three performance attributes of throughput, latency and (memory) footprint and how each of these are influenced in terms of JVM garbage collection.
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Rust: Unlocking Systems Programming
Aaron Turon explains Rust's core notion of “ownership” and shows how Rust uses it to guarantee thread safety, how Rust avoids some of the pitfalls of C++ without compromising on performance.
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